A Systematic Review on Intrusion Detection System in Wireless Networks: Variants, Attacks, and Applications
The significance of wireless networks is expanding very rapidly, and their increasing
pervasiveness makes them a vital component of the activities involved in living in the …
pervasiveness makes them a vital component of the activities involved in living in the …
Random Forest Stratified K-Fold Cross Validation on SYN DoS Attack SD-IoV
MAH Zamrai, KM Yusof… - 2024 7th International …, 2024 - ieeexplore.ieee.org
In response to the prevalent concern of TCP SYN flood attacks within the context of Software-
Defined Internet of Vehicles (SD-IoV), this study addresses the significant challenge of …
Defined Internet of Vehicles (SD-IoV), this study addresses the significant challenge of …
Uso de Software Libre y Machine Learnig para mejorar la Detección de Intrusos en una Red
LEC Garcia, MDÁ Galarza - Polo del Conocimiento, 2024 - polodelconocimiento.com
Este estudio integra técnicas de Machine Learning (ML) con el sistema de detección de
intrusiones Snort para mejorar la identificación de ataques DDoS. El objetivo es reducir los …
intrusiones Snort para mejorar la identificación de ataques DDoS. El objetivo es reducir los …
[PDF][PDF] Advancing SD-IoV Resilience: Cross-Validated Random Forest for SYN DoS Attack Mitigation
MAH Zamrai, KM Yusof, MN bin Marsono - researchgate.net
This study addresses Transmission Control Protocol Synchronize (TCP SYN) flood attacks in
Software-Defined Internet of Vehicles (SD-IoV) by optimizing a Random Forest Classifier …
Software-Defined Internet of Vehicles (SD-IoV) by optimizing a Random Forest Classifier …